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List Of Programming Languages By Type

Array languages[edit]

Main category: Array programming languages​
​Array programming (also termed vector or multidimensional) languages generalize operations on scalars to apply transparently to vectors, matrices, and higher-dimensional arrays.

Assembly languages[edit]

Main article: Assembly language​
​Assembly languages directly correspond to a machine language (see below), although there may not be a 1-1 mapping between an individual statement and an individual instruction, so machine code instructions appear in a form understandable by humans. Assembly languages let programmers use symbolic addresses, which the assembler converts to absolute or relocatable addresses. Most assemblers also support macros and symbolic constants.

Authoring languages[edit]

Main article: Authoring language​
An authoring language is a programming language desined for use by a non-computer expert to easily create tutorials, websites, and other interactive computer programs.

Constraint programming languages[edit]

Main article: Constraint programming​
A constraint programming language is a declarative programming language where relationships between variables are expressed as constraints. Execution proceeds by attempting to find values for the variables which satisfy all declared constraints.

Command line interface languages[edit]

​Command-line interface (CLI) languages are also called batch languages or job control languages. Examples:

Compiled languages[edit]

These are languages typically processed by compilers, though theoretically any language can be compiled or interpreted[citation needed]. See also compiled language.

Concurrent languages[edit]

Main category: Concurrent programming languagesFor a more comprehensive list, see List of concurrent and parallel programming languages.
​Message passing languages provide language constructs for concurrency. The predominant paradigm for concurrency in mainstream languages such as Java is shared memory concurrency. Concurrent languages that make use of message passing have generally been inspired by process calculi such as communicating sequential processes (CSP) or the π-calculus.
    ​Ada – multi-purpose language
    ​Alef – concurrent language with threads and message passing, used for systems programming in early versions of Plan 9 from Bell Labs​
    ​Ateji PX an extension of the Java language for parallelism
    ​Ballerina - a language designed for implementing and orchestrating micro-services. Provides a message based parallel-first concurrency model.
    ​ChucK – domain specific programming language for audio, precise control over concurrency and timing
    ​Cilk – a concurrent C​
    ​Cω – C Omega, a research language extending C#, uses asynchronous communication
    ​Clojure – a dialect of Lisp for the Java virtual machine​
    ​Chapel​
    ​Co-array Fortran​
    ​Concurrent Pascal (by Brinch-Hansen)
    ​Curry​
    ​E – uses promises, ensures deadlocks cannot occur
    ​Eiffel (through the SCOOPmechanism, Simple Concurrent Object-Oriented Computation)
    ​Elixir (runs on the Erlang VM)
    ​Emerald - uses threads and monitors
    ​Erlang – uses asynchronous message passing with nothing shared
    ​Gambit Scheme - using the Termite library
    ​Go​
    ​Haskell — supports concurrent, distributed, and parallel programming across multiple machines
    ​Java​
      ​Join Java – concurrent language based on Java
      ​X10​
    ​Julia​
    ​Joule – dataflow language, communicates by message passing
    ​Limbo – relative of Alef, used for systems programming in Inferno (operating system)​
    ​MultiLisp – Scheme variant extended to support parallelism
    ​occam – influenced heavily by Communicating Sequential Processes (CSP)
    ​Orc​
    ​Oz – multiparadigm language, supports shared-state and message-passing concurrency, and futures, and Mozart Programming System cross-platform Oz
    ​P​
    ​Pict – essentially an executable implementation of Milner's π-calculus​
    ​Python — uses thread-based parallelism and process-based parallelism [1]​
    ​Rust​
    ​Scala – implements Erlang-style actors on the JVM
    ​SequenceL – purely functional, automatically parallelizing and race-free
    ​SR – research language
    ​Unified Parallel C​
    ​XProc – XML processing language, enabling concurrency

Curly-bracket languages[edit]

Curly-bracket or curly-brace programming languages have a syntax that defines statement blocks using the curly bracket or brace characters { and }. This syntax originated with BCPL (1966), and was popularized by C. Many curly-bracket languages descend from or are strongly influenced by C. Examples of curly-bracket languages include:

Dataflow languages[edit]

​Dataflow programming languages rely on a (usually visual) representation of the flow of data to specify the program. Frequently used for reacting to discrete events or for processing streams of data. Examples of dataflow languages include:

Data-oriented languages[edit]

Data-oriented languages provide powerful ways of searching and manipulating the relations that have been described as entity relationship tables which map one set of things into other sets.[citation needed] Examples of data-oriented languages include:

Decision table languages[edit]

​Decision tables can be used as an aid to clarifying the logic before writing a program in any language, but in the 1960s a number of languages were developed where the main logic is expressed directly in the form of a decision table, including:

Declarative languages[edit]

Main category: Declarative programming languages​
​Declarative languages express the logic of a computation without describing its control flow in detail. Declarative programming stands in contrast to imperative programming via imperative programming languages, where control flow is specified by serial orders (imperatives). (Pure) functional and logic-based programming languages are also declarative, and constitute the major subcategories of the declarative category. This section lists additional examples not in those subcategories.

Embeddable languages[edit]

In source code[edit]

Source embeddable languages embed small pieces of executable code inside a piece of free-form text, often a web page.
Client-side embedded languages are limited by the abilities of the browser or intended client. They aim to provide dynamism to web pages without the need to recontact the server.
Server-side embedded languages are much more flexible, since almost any language can be built into a server. The aim of having fragments of server-side code embedded in a web page is to generate additional markup dynamically; the code itself disappears when the page is served, to be replaced by its output.
Server side[edit]
    ​PHP​
    ​VBScript​
    SMX – dedicated to web pages
    ​Tcl – server-side in NaviServer and an essential component in electronics industry systems
    ​WebDNA – dedicated to database-driven websites
The above examples are particularly dedicated to this purpose. A large number of other languages, such as Erlang, Scala, Perl and Ruby can be adapted (for instance, by being made into Apache modules).
Client side[edit]

In object code[edit]

A wide variety of dynamic or scripting languages can be embedded in compiled executable code. Basically, object code for the language's interpreter needs to be linked into the executable. Source code fragments for the embedded language can then be passed to an evaluation function as strings. Application control languages can be implemented this way, if the source code is input by the user. Languages with small interpreters are preferred.

Educational Programming languages[edit]

For a more comprehensive list, see List of educational programming languages.
Languages developed primarily for the purpose of teaching and learning of programming.

Esoteric languages[edit]

Main category: Esoteric programming languages​
An esoteric programming language is a programming language designed as a test of the boundaries of computer programming language design, as a proof of concept, or as a joke.

Extension languages[edit]

​Extension programming languages are languages embedded into another program and used to harness its features in extension scripts.

Fourth-generation languages[edit]

Main category: Fourth-generation programming languages​
​Fourth-generation programming languages are high-level languages built around database systems. They are generally used in commercial environments.

Functional languages[edit]

Main category: Functional languages​
​Functional programming languages define programs and subroutines as mathematical functions and treat them as first-class. Many so-called functional languages are "impure", containing imperative features. Many functional languages are tied to mathematical calculation tools. Functional languages include:

Pure[edit]

Impure[edit]

Hardware description languages[edit]

For a more comprehensive list, see List of hardware description languages.
In electronics, a hardware description language (HDL) is a specialized computer language used to describe the structure, design, and operation of electronic circuits, and most commonly, digital logic circuits. The two most widely used and well-supported HDL varieties used in industry are Verilog and VHDL. Hardware description languages include:

HDLs for analog circuit design[edit]

    ​Verilog-AMS (Verilog for Analog and Mixed-Signal)
    ​VHDL-AMS (VHDL with Analog/Mixed-Signal extension)

HDLs for digital circuit design[edit]

Imperative languages[edit]

Imperative programming languages may be multi-paradigm and appear in other classifications. Here is a list of programming languages that follow the imperative paradigm:

Interactive mode languages[edit]

Interactive mode languages act as a kind of shell: expressions or statements can be entered one at a time, and the result of their evaluation is seen immediately. The interactive mode is also termed a read–eval–print loop (REPL).

Interpreted languages[edit]

​Interpreted languages are programming languages in which programs may be executed from source code form, by an interpreter. Theoretically, any language can be compiled or interpreted, so the term interpreted language generally refers to languages that are usually interpreted rather than compiled.

Iterative languages[edit]

Iterative languages are built around or offering generators.

Languages by memory management type[edit]

Garbage collected languages[edit]

Garbage Collection (GC) is a form of automatic memory management. The garbage collector attempts to reclaim memory that was allocated by the program but is no longer used.Main article: Garbage collection (computer science)​

Languages with manual memory management[edit]

​​
​​
This section needs expansion. You can help by adding to it. (November 2016)

Languages with deterministic memory management[edit]

​​
​​
This section needs expansion. You can help by adding to it. (April 2018)

Languages with automatic reference counting (ARC)[edit]

​​
​​
This section needs expansion. You can help by adding to it. (September 2018)

List-based languages – LISPs[edit]

List-based languages are a type of data-structured language that are based on the list data structure.

Little languages[edit]

​Little languages​[4] serve a specialized problem domain.
    ​awk – used for text file manipulation.
    ​Comet – used to solve complex combinatorial optimization problems in areas such as resource allocation and scheduling​
    ​sed – parses and transforms text
    ​SQL – has only a few keywords and not all the constructs needed for a full programming language[a] – many database management systems extend SQL with additional constructs as a stored procedure language

Logic-based languages[edit]

Main category: Logic programming languages​
​Logic-based languages specify a set of attributes that a solution must-have, rather than a set of steps to obtain a solution.
Notable languages following this programming paradigm include:
    ​ALF​
    ​Alma-0​
    ​CLACL (CLAC-Language)​
    ​Curry​
    ​Fril​
    ​Flix (a functional programming language with first-class Datalog constraints)
    ​Janus​
    ​λProlog (a logic programming language featuring polymorphic typing, modular programming, and higher-order programming)
    ​Oz, and Mozart Programming System cross-platform Oz
    ​Prolog (formulates data and the program evaluation mechanism as a special form of mathematical logic called Horn logic and a general proving mechanism called logical resolution)
    ​ROOP​

Machine languages[edit]

​Machine languages are directly executable by a computer's CPU. They are typically formulated as bit patterns, usually represented in octal or hexadecimal. Each bit pattern causes the circuits in the CPU to execute one of the fundamental operations of the hardware. The activation of specific electrical inputs (e.g., CPU package pins for microprocessors), and logical settings for CPU state values, control the processor's computation. Individual machine languages are specific to a family of processors; machine-language code for one family of processors cannot run directly on processors in another family unless the processors in question have additional hardware to support it (for example, DEC VAX processors included a PDP-11 compatibility mode). They are (essentially) always defined by the CPU developer, not by 3rd parties. The symbolic version, the processor's assembly language, is also defined by the developer, in most cases. Some commonly used machine code instruction sets are:

Macro languages[edit]

Main category: Macro programming languages​

Textual substitution macro languages[edit]

​Macro languages transform one source code file into another. A "macro" is essentially a short piece of text that expands into a longer one (not to be confused with hygienic macros), possibly with parameter substitution. They are often used to preprocess source code. Preprocessors can also supply facilities like file inclusion.
Macro languages may be restricted to acting on specially labeled code regions (pre-fixed with a # in the case of the C preprocessor). Alternatively, they may not, but in this case it is still often undesirable to (for instance) expand a macro embedded in a string literal, so they still need a rudimentary awareness of syntax. That being the case, they are often still applicable to more than one language. Contrast with source-embeddable languages like PHP, which are fully featured.
    ​cpp (the C preprocessor)
    ​m4 (originally from AT&T, bundled with Unix)
    ​ML/I (general purpose macro processor)

Application macro languages[edit]

​Scripting languages such as Tcl and ECMAScript (ActionScript, ECMAScript for XML, JavaScript, JScript) have been embedded into applications. These are sometimes called "macro languages", although in a somewhat different sense to textual-substitution macros like m4.

Metaprogramming languages[edit]

​Metaprogramming is the writing of programs that write or manipulate other programs, including themselves, as their data or that do part of the work that is otherwise done at run time during compile time. In many cases, this allows programmers to get more done in the same amount of time as they would take to write all the code manually.

Multiparadigm languages[edit]

Main article: Comparison of multi-paradigm programming languages​
​Multiparadigm languages support more than one programming paradigm. They allow a program to use more than one programming style. The goal is to allow programmers to use the best tool for a job, admitting that no one paradigm solves all problems in the easiest or most efficient way.
    ​1C:Enterprise programming language(generic, imperative, object-oriented, prototype-based, functional)
    ​Ada (concurrent, distributed, generic(template metaprogramming), imperative, object-oriented (class-based))
    ​ALF (functional, logic)
    ​Alma-0 (constraint, imperative, logic)
    ​APL (functional, imperative, object-oriented (class-based))
    ​BETA (functional, imperative, object-oriented (class-based))
    ​C++ (generic, imperative, object-oriented (class-based), functional, metaprogramming)
    ​C# (generic, imperative, object-oriented (class-based), functional, declarative)
    ​Ceylon (generic, imperative, object-oriented (class-based), functional, declarative)
    ​ChucK (imperative, object-oriented, time-based, concurrent, on-the-fly)
    ​Cobra (generic, imperative, object-oriented (class-based), functional, contractual)
    ​Common Lisp (functional, imperative, object-oriented (class-based), aspect-oriented (user may add further paradigms, e.g., logic))
    ​Curl (functional, imperative, object-oriented (class-based), metaprogramming)
    ​Curry (concurrent, functional, logic)
    ​D (generic, imperative, functional, object-oriented (class-based), metaprogramming)
    ​Delphi Object Pascal (generic, imperative, object-oriented (class-based), metaprogramming)
    ​Dylan (functional, object-oriented (class-based))
    ​eC (generic, imperative, object-oriented (class-based))
    ​ECMAScript (functional, imperative, object-oriented (prototype-based))
    ​Eiffel (imperative, object-oriented (class-based), generic, functional (agents), concurrent (SCOOP))
    ​F# (functional, generic, object-oriented (class-based), language-oriented)
    ​Fantom (functional, object-oriented (class-based))
    ​Go (imperative, procedural),
    ​Groovy (functional, object-oriented (class-based), imperative, procedural)
    ​Harbour​
    ​Hop​
    ​J (functional, imperative, object-oriented (class-based))
    ​Julia (imperative, multiple dispatch("object-oriented"), functional, metaprogramming)
    ​LabVIEW (dataflow, visual)
    ​Lava (object-oriented (class-based), visual)
    ​Lua (functional, imperative, object-oriented (prototype-based))
    ​Mercury (functional, logical, object-oriented)
    ​Metaobject protocols (object-oriented (class-based, prototype-based))
    ​Nemerle (functional, object-oriented (class-based), imperative, metaprogramming)
    ​Objective-C (imperative, object-oriented (class-based), reflective)
    ​OCaml (functional, imperative, object-oriented (class-based), modular)
    ​Oz (functional (evaluation: eager, lazy), logic, constraint, imperative, object-oriented (class-based), concurrent, distributed), and Mozart Programming System cross-platform Oz
    ​Object Pascal (imperative, object-oriented (class-based))
    ​Perl (imperative, functional (can't be purely functional), object-oriented, class-oriented, aspect-oriented (through modules))
    ​PHP (imperative, object-oriented, functional (can't be purely functional))
    ​Pike (interpreted, general-purpose, high-level, cross-platform, dynamic programming language )
    ​Prograph (dataflow, object-oriented (class-based), visual)
    ​Python (functional, compiled, interpreted, object-oriented (class-based), imperative, metaprogramming, extension, impure, interactive mode, iterative, reflective, scripting)
    ​R (array, interpreted, impure, interactive mode, list-based, object-oriented prototype-based, scripting)
    ​Racket (functional, imperative, object-oriented (class-based) and can be extended by the user)
    ​REBOL (functional, imperative, object-oriented (prototype-based), metaprogramming (dialected))
    ​Red (functional, imperative, object-oriented (prototype-based), metaprogramming (dialected))
    ​ROOP (imperative, logic, object-oriented (class-based), rule-based)
    ​Ruby (imperative, functional, object-oriented (class-based), metaprogramming)
    ​Rust (concurrent, functional, imperative, object-oriented, generic, metaprogramming, compiled)
    ​Scala (functional, object-oriented)
    ​Seed7 (imperative, object-oriented, generic)
    ​SISAL (concurrent, dataflow, functional)
    ​Spreadsheets (functional, visual)
    ​Swift (protocol-oriented, object-oriented, functional, imperative, block-structured)
    ​Tcl (functional, imperative, object-oriented (class-based))
      ​Tea (functional, imperative, object-oriented (class-based))
    ​Windows PowerShell (functional, imperative, pipeline, object-oriented (class-based))
    ​Wolfram Language​

Numerical analysis[edit]

Several general-purpose programming languages, such as C and Python, are also used for technical computing, this list focuses on languages almost exclusively used for technical computing.

Non-English-based languages[edit]

Main article: Non-English-based programming languages​

Object-oriented class-based languages[edit]

Class-based Object-oriented programming languages support objects defined by their class. Class definitions include member data. Message passing is a key concept (if not the key concept) in Object-oriented languages.
Polymorphic functions parameterized by the class of some of their arguments are typically called methods. In languages with single dispatch, classes typically also include method definitions. In languages with multiple dispatch, methods are defined by generic functions. There are exceptions where single dispatch methods are generic functions (e.g. Bigloo's object system).

​Multiple dispatch[edit]

    ​Common Lisp​
    ​Cecil​
    ​Dylan​
    ​Julia (the concept of "object" is not present in Julia, but the language allows for multiple dispatch on different types at runtime)

Single dispatch[edit]

Object-oriented prototype-based languages[edit]

​Prototype-based languages are object-oriented languages where the distinction between classes and instances has been removed:

Off-side rule languages[edit]

Main article: Off-side rule § Off-side rule languages​
​Off-side rule languages denote blocks of code by their indentation.
    ​ISWIM, the abstract language that introduced the rule
    ​ABC, Python's parent
    ​Miranda, Haskell's parent
    ​Elixir (, do: blocks)
    ​F#​
    ​Nim​
    ​Occam​
    ​SPIN​
    ​Scala (off-side optional)

Procedural languages[edit]

​Procedural programming languages are based on the concept of the unit and scope (the data viewing range) of an executable code statement. A procedural program is composed of one or more units or modules, either user coded or provided in a code library; each module is composed of one or more procedures, also called a function, routine, subroutine, or method, depending on the language. Examples of procedural languages include:

Query languages[edit]

Main article: Query language​

Reflective Language[edit]

​Reflective languages let programs examine and possibly modify their high level structure at runtime or compile-time. This is most common in high-level virtual machine programming languages like Smalltalk, and less common in lower-level programming languages like C. Languages and platforms supporting reflection:See also: Aspect-oriented programming​

Rule-based languages[edit]

Rule-based languages instantiate rules when activated by conditions in a set of data. Of all possible activations, some set is selected and the statements belonging to those rules execute. Rule-based languages include:[citation needed]

Scripting languages[edit]

"Scripting language" has two apparently different, but in fact similar, meanings. In a traditional sense, scripting languages are designed to automate frequently used tasks that usually involve calling or passing commands to external programs. Many complex application programs provide built-in languages that let users automate tasks. Those that are interpretive are often called scripting languages.
Recently, many applications have built-in traditional scripting languages, such as Perl or Visual Basic, but there are quite a few native scripting languages still in use. Many scripting languages are compiled to bytecode and then this (usually) platform-independent bytecode is run through a virtual machine (compare to Java virtual machine).

Stack-based languages[edit]

Main category: Stack-oriented programming languages​
Stack-based languages are a type of data-structured language that are based on the stack data structure.
    ​Beatnik​
    Canonware Onyx[6]​
    ​Factor​
    ​Forth​
    ​Joy (all functions work on parameter stacks instead of named parameters)
    ​Piet​
    ​Poplog via its implementation language POP-11​
    ​PostScript​
    ​RPL​
    ​S-Lang​

Synchronous languages[edit]

Main category: Synchronous programming languages​
​Synchronous programming languages are optimized for programming reactive systems, systems that are often interrupted and must respond quickly. Many such systems are also called realtime systems, and are used often in embedded systems.
Examples:

Shading languages[edit]

See also: Category:Shading languages​
A shading language is a graphics programming language adapted to programming shader effects. Such language forms usually consist of special data types, like "color" and "normal". Due to the variety of target markets for 3D computer graphics.

Real-time rendering[edit]

They provide both higher hardware abstraction and a more flexible programming model than previous paradigms which hardcoded transformation and shading equations. This gives the programmer greater control over the rendering process and delivers richer content at lower overhead.

Offline rendering[edit]

Shading languages used in offline rendering produce maximum image quality. Processing such shaders is time-consuming. The computational power required can be expensive because of their ability to produce photorealistic results.

Syntax-handling languages[edit]

These languages assist with generating lexical analyzers and parsers for context-free grammars.

System languages[edit]

The system programming languages are for low level tasks like memory management or task management. A system programming language usually refers to a programming language used for system programming; such languages are designed for writing system software, which usually requires different development approaches when compared with application software.
System software is computer software designed to operate and control the computer hardware, and to provide a platform for running application software. System software includes software categories such as operating systems, utility software, device drivers, compilers, and linkers. Examples of system languages include:
hideLanguage
Originator
First appeared
Influenced by
Used for
​ESPOL​
​Burroughs Corporation​
1961
​ALGOL 60​
​MCP​
​PL/I​
​IBM, SHARE​
1964
ALGOL, FORTRAN, some COBOL
​Multics​
​PL360​
​Niklaus Wirth​
1968
ALGOL 60
​ALGOL W​
​C​
​Dennis Ritchie​
1969
​BCPL​
Most operating system kernels, including Windows NT and most Unix-like systems
​PL/S​
​IBM​
196x
​PL/I​
​OS/360​
​BLISS​
1970
ALGOL-PL/I[12]​
​VMS (portions)
​PL/8​
​IBM​
197x
​PL/I​
​AIX​
​PL/MP and PL/MI​
​IBM​
197x
​PL/I​
​CPF, OS/400​
​PL-6​
​Honeywell, Inc.​
197x
​PL/I​
​CP-6​
​SYMPL​
​CDC​
197x
​JOVIAL​
​NOS subsystems, most compilers, FSE editor
​C++​
​Bjarne Stroustrup​
1979
​C, Simula​
See C++ Applications[13]​
​Ada​
​Jean Ichbiah, S. Tucker Taft​
1983
​ALGOL 68, Pascal, C++, Java, Eiffel​
Embedded systems, OS kernels, compilers, games, simulations, CubeSat, air traffic control, and avionics
​D​
​Digital Mars​
2001
​C++​
Multiple domains[14]​
​Nim​
Andreas Rumpf
2008
OS kernels, compilers, games
​Rust​
​Mozilla Research​[15]​
2010
​C++, Haskell, Erlang, Ruby​
​Servo layout engine, Redox OS​
​Swift​
​Apple Inc.​
2014
​C, Objective-C, Rust​
​macOS, iOS app development [c]​
​Zig​
Andrew Kelley
2016
​C, C++, LLVM IR, Go, Rust, JavaScript​
As a replacement for C

Transformation languages[edit]

Main article: Transformation language​

Visual languages[edit]

Main category: Visual programming languages​
​Visual programming languages let users specify programs in a two-(or more)-dimensional way, instead of as one-dimensional text strings, via graphic layouts of various types. Some dataflow programming languages are also visual languages.

Wirth languages[edit]

Computer scientist Niklaus Wirth designed and implemented several influential languages.

XML-based languages[edit]

These are languages based on or that operate on XML.

​

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Contents
Array languages[edit]
Assembly languages[edit]
Authoring languages[edit]
Constraint programming languages[edit]
Command line interface languages[edit]
Compiled languages[edit]
Concurrent languages[edit]
Curly-bracket languages[edit]
Dataflow languages[edit]
Data-oriented languages[edit]
Decision table languages[edit]
Declarative languages[edit]
Embeddable languages[edit]
Educational Programming languages[edit]
Esoteric languages[edit]
Extension languages[edit]
Fourth-generation languages[edit]
Functional languages[edit]
Hardware description languages[edit]
Imperative languages[edit]
Interactive mode languages[edit]
Interpreted languages[edit]
Iterative languages[edit]
Languages by memory management type[edit]
List-based languages – LISPs[edit]
Little languages[edit]
Logic-based languages[edit]
Machine languages[edit]
Macro languages[edit]
Metaprogramming languages[edit]
Multiparadigm languages[edit]
Numerical analysis[edit]
Non-English-based languages[edit]
Object-oriented class-based languages[edit]
Object-oriented prototype-based languages[edit]
Off-side rule languages[edit]
Procedural languages[edit]
Query languages[edit]
Reflective Language[edit]
Rule-based languages[edit]
Scripting languages[edit]
Stack-based languages[edit]
Synchronous languages[edit]
Shading languages[edit]
Syntax-handling languages[edit]
System languages[edit]
Transformation languages[edit]
Visual languages[edit]
Wirth languages[edit]
XML-based languages[edit]